biostudies-literatureLuo JMedical Scientific Research Foundation of Guangdong ProvinceMedical Science and Technology Research Foundation of Guangdong ProvinceGuangdong Provincial Department of Science and TechnologyGuangdong Provincial Clinical Research Center for Urological DiseasesGuangdong Province key areas research and development planYixian Clinical Research Project of Sun Yat sen Memorial HospitalGuangzhou Science and Technology Planning ProjectNational Natural Science Foundation of ChinaNatural Science Foundation of Guangdong ProvinceKey Areas Research and Development Program of GuangdongGuangdong Science and Technology Departmente7111https://www.ebi.ac.uk/biostudies/studies/S-EPMC10988236biostudies-literatureUnknown13(7)<h4>Objective</h4>The primary aim of this study was to create a nomogram for predicting survival outcomes in penile cancer patients, utilizing data from the Surveillance, Epidemiology, and End Results (SEER) and a Chinese organization.<h4>Methods</h4>Our study involved a cohort of 5744 patients diagnosed with penile cancer from the SEER database, spanning from 2004 to 2019. In addition, 103 patients with penile cancer from Sun Yat-sen Memorial Hospital of Sun Yat-sen University were included during the same period. Based on the results of regression analysis, a nomogram is constructed and validated internally and externally. The predictive performance of the model was evaluated by concordance index (c-index), area under the curve, decision curve analysis, and calibration curve, in internalCancer medicineDeveloping and validating a nomogram for penile cancer survival: A comprehensive study based on SEER and Chinese data.PMC10988236201803010029820728412020B12120600182021A1515010199A20225412020B1111170006202011020004C2018060sysc2018022020B1111140022023B1111030006Wu ZXu KLuo JHu JMulati YKong DLai CLiu CfalseDeveloping and validating a nomogram for penile cancer survival: A comprehensive study based on SEER and Chinese data.<h4>Objective</h4>The primary aim of this study was to create a nomogram for predicting survival outcomes in penile cancer patients, utilizing data from the Surveillance, Epidemiology, and End Results (SEER) and a Chinese organization.<h4>Methods</h4>Our study involved a cohort of 5744 patients diagnosed with penile cancer from the SEER database, spanning from 2004 to 2019. In addition, 103 patients with penile cancer from Sun Yat-sen Memorial Hospital of Sun Yat-sen University were included during the same period. Based on the results of regression analysis, a nomogram is constructed and validated internally and externally. The predictive performance of the model was evaluated by concordance index (c-index), area under the curve, decision curve analysis, and calibration curve, in internal2024-01-01T00:00:00Z2024 Apr2026-07-09T11:58:31.08Z2025-05-29T14:37:44.932ZS-EPMC109882363856658710.1002/cam4.7111